Edward Song

38 papers and 1.6k indexed citations
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About

Edward Song is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Bioengineering. According to data from OpenAlex, Edward Song has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Electrical and Electronic Engineering, 12 papers in Molecular Biology and 12 papers in Bioengineering. Recurrent topics in Edward Song’s work include Analytical Chemistry and Sensors (12 papers), Electrochemical sensors and biosensors (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Edward Song is often cited by papers focused on Analytical Chemistry and Sensors (12 papers), Electrochemical sensors and biosensors (10 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Edward Song collaborates with scholars based in United States, South Korea and Canada. Edward Song's co-authors include Jin‐Woo Choi, Niazul Islam Khan, Ryan P. Tortorich, William M. Ricci, Devra B. Becker, Joseph Borrelli, John G. Tsavalas, Sujoy Ghosh, Habib Ahmad and Nicholas U. Ahn and has published in prestigious journals such as Blood, Journal of The Electrochemical Society and The Journal of Physical Chemistry C.

In The Last Decade

Co-authorship network of co-authors of Edward Song

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Song. A scholar is included among the top collaborators of Edward Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Edward Song. Edward Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Edward Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Edward Song. The network helps show where Edward Song may publish in the future.

Countries citing papers authored by Edward Song

Since Specialization
Citations

This map shows the geographic impact of Edward Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Edward Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Song more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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